Low bit-rate coding of image sequences using adaptive regions of interest

 
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1998 (EN)
Low bit-rate coding of image sequences using adaptive regions of interest (EN)

Kollias, S (EN)
Doulamis, A (EN)
Doulamis, N (EN)
Kalogeras, D (EN)

N/A (EN)

An adaptive algorithm for extracting foreground objects from background in videophone or videoconference applications is presented in this paper. The algorithm uses a neural network architecture that classifies the video frames in regions-of-interest (ROI) and non-ROI areas, also being able to automatically adapt its performance to scene changes. The algorithm is incorporated in motion-compensated discrete cosine transform (MC-DCT)-based coding schemes, allocating more bits to ROI than to non-ROI areas. Simulation results are presented, using the Claire and Trevor sequences, which show reconstructed images of better quality, as well as signal-to-noise ratio improvements of about 1.4 dB, compared to those achieved by standard MC-DCT encoders. © 1998 IEEE. (EN)

journalArticle

Low bit-rate coding (EN)
Neural networks (EN)
Regions of interest (EN)
COMPRESSION (EN)
MC-DCT-based coding schemes (EN)

Εθνικό Μετσόβιο Πολυτεχνείο (EL)
National Technical University of Athens (EN)

IEEE Transactions on Circuits and Systems for Video Technology (EN)

1998


IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (EN)



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